Hao Bai
Papers
2
Total Citations
3
H-Index
1
About
Hao Bai is a researcher advancing the field of robotic tactile sensing and perception, with a focus on enabling more reliable and adaptive physical interactions between robots and their environments. His work centers on the design, evaluation, and computational processing of tactile sensor data, particularly for applications in dexterous manipulation and unstructured environments. Bai’s major contributions include the systematic evaluation of capacitive tactile sensors with different structural materials, providing critical insights into sensor performance for safe and effective robotic gripping. He has also developed a physically-grounded framework for 3D point cloud filtering and clustering that incorporates tactile sensor specifications, addressing the challenge of aligning depth camera data with tactile feedback for precise contact with objects of diverse geometries. While his most cited papers (2025) currently have 2 and 1 citations respectively, reflecting the recency of his work, these contributions represent foundational steps toward integrating tactile sensing with 3D perception. Bai’s research is notable for its practical, specification-driven approach, bridging sensor hardware evaluation with robust data processing algorithms—a key direction for advancing autonomous robotic systems in real-world settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2